Michaël Reber

1.9k citations
51 papers · 1.5k indexed · h-index 22

Impact in

Papers in

Michaël Reber

50 papers receiving 1.5k citations

Peers

Michaël Reber
Comparison fields: 5 of 114
  • Hepatology 162
  • Cellular and Molecular Neuroscience 311
  • Developmental Neuroscience 57
  • Surgery 472
  • Cell Biology 158
Replace Masayuki Shono with:
Masayuki Shono Japan
Sergey Rodin Sweden
Silvia Parisi Italy
Eunju Kang South Korea
Min Song United States
Andreas Wunder Germany
Pia Welker Germany
Itsuki Ajioka Japan
Srikanth Ranganathan United States
Michaël Reber relative to Masayuki Shono Japan Masayuki Shono's profile →
Citations per field
00.5×4.4×
Masayuki Shono · 1×
Citations per year

Countries citing papers authored by Michaël Reber

Since Specialization
Citations

This map shows the geographic impact of Michaël Reber's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Michaël Reber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michaël Reber more than expected).

Fields of papers citing papers by Michaël Reber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michaël Reber. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Michaël Reber. The network helps show where Michaël Reber may publish in the future.

Co-authors

The 25 scholars most cited alongside Michaël Reber, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michaël Reber Line = papers co-authored together Michaël Reber links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002276
2 1999233
3 201096
4 200494
5 200584
6 201164
7 200961
8 201154
9 200134
10 200632
11 200829
12 200329
13 201727
14 200526
15
Analysis of a splice-site mutation in the sap-precursor gene of a patient with metachromatic leukodystrophy.
199626
16 201525
17 201124
18 201624
19 201924
20 200724

About Michaël Reber

Michaël Reber is a scholar working on Cellular and Molecular Neuroscience, Cell Biology, Human-Computer Interaction, Bioengineering and Pharmacology, having authored 51 papers that have together received 1.5k indexed citations. Recurring topics across this work include Axon Guidance and Neuronal Signaling (10 papers), Zebrafish Biomedical Research Applications (7 papers), Mesoporous Materials and Catalysis (6 papers), Neuroscience and Neuropharmacology Research (5 papers), Retinal Development and Disorders (5 papers), Ophthalmology and Visual Impairment Studies (4 papers), Polyoxometalates: Synthesis and Applications (4 papers) and Nerve injury and regeneration (3 papers). The work is most often cited by research in Hepatology (162 citations), Cellular and Molecular Neuroscience (311 citations), Developmental Neuroscience (57 citations), Surgery (472 citations) and Cell Biology (158 citations). Michaël Reber has collaborated with scholars based in France, Germany and United States. Frequent co-authors include Silvia Cereghini, Greg Lemke, Elena Barbacci, Christelle Breillat, Marie‐Odile Ott, François Huetz, Patrick Jacquemin, Patrick Burrola, Vincent Lannoy and Frédéric Clotman. Their work appears in journals such as Pulmonary Circulation, BMC Pharmacology and Toxicology, Dalton Transactions, Advanced Functional Materials and Journal of Neuroscience.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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